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2021

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, et al. {The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 ;53:840–860.

Lin BM, Grinde KE, Brody JA, Breeze CE, Raffield LM, Mychaleckyj JC, Thornton TA, Perry JA, Baier LJ, Fuentes Lde Las, et al. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. EBioMedicine. 2021 ;63:103157.

Lin BM, Grinde KE, Brody JA, Breeze CE, Raffield LM, Mychaleckyj JC, Thornton TA, Perry JA, Baier LJ, Fuentes Lde Las, et al. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. EBioMedicine. 2021 ;63:103157.

Little A, Hu Y, Sun Q, Jain D, Broome J, Chen M-H, Thibord F, McHugh C, Surendran P, Blackwell TW, et al. Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative. Hum Mol Genet. 2021 .

Little A, Hu Y, Sun Q, Jain D, Broome J, Chen M-H, Thibord F, McHugh C, Surendran P, Blackwell TW, et al. Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative. Hum Mol Genet. 2021 .

Little A, Hu Y, Sun Q, Jain D, Broome J, Chen M-H, Thibord F, McHugh C, Surendran P, Blackwell TW, et al. Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative. Hum Mol Genet. 2021 .

Cade BE, Lee J, Sofer T, Wang H, Zhang M, Chen H, Gharib SA, Gottlieb DJ, Guo X, Lane JM, et al. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med. 2021 ;13(1):136.

Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, de Bellefon SMéric, Raffield LM, Chen M-H, et al. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(5):874-893.

Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, de Bellefon SMéric, Raffield LM, Chen M-H, et al. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(5):874-893.

Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, de Bellefon SMéric, Raffield LM, Chen M-H, et al. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(5):874-893.

Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MPreethi, Blackwell TW, Brody JA, Broome J, Chami N, Chen M-H, et al. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(10):1836-1851.

Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MPreethi, Blackwell TW, Brody JA, Broome J, Chami N, Chen M-H, et al. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(10):1836-1851.

Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MPreethi, Blackwell TW, Brody JA, Broome J, Chami N, Chen M-H, et al. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(10):1836-1851.

2020

Katsumata Y, Fardo DW, Bachstetter AD, Artiushin SC, Wang W-X, Wei A, Brzezinski LJ, Nelson BG, Huang Q, Abner EL, et al. Alzheimer Disease Pathology-Associated Polymorphism in a Complex Variable Number of Tandem Repeat Region Within the MUC6 Gene, Near the AP2A2 Gene. J Neuropathol Exp Neurol. 2020 ;79(1):3-21.

Katsumata Y, Fardo DW, Bachstetter AD, Artiushin SC, Wang W-X, Wei A, Brzezinski LJ, Nelson BG, Huang Q, Abner EL, et al. Alzheimer Disease Pathology-Associated Polymorphism in a Complex Variable Number of Tandem Repeat Region Within the MUC6 Gene, Near the AP2A2 Gene. J Neuropathol Exp Neurol. 2020 ;79(1):3-21.

Katsumata Y, Fardo DW, Bachstetter AD, Artiushin SC, Wang W-X, Wei A, Brzezinski LJ, Nelson BG, Huang Q, Abner EL, et al. Alzheimer Disease Pathology-Associated Polymorphism in a Complex Variable Number of Tandem Repeat Region Within the MUC6 Gene, Near the AP2A2 Gene. J Neuropathol Exp Neurol. 2020 ;79(1):3-21.

Yeap BB, Marriott RJ, Adams RJ, Antonio L, Ballantyne CM, Bhasin S, Cawthon PM, Couper DJ, Dobs AS, Flicker L, et al. {Androgens In Men Study (AIMS): protocol for meta-analyses of individual participant data investigating associations of androgens with health outcomes in men. BMJ Open. 2020 ;10:e034777.

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